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BOBosch Group

Master Thesis Combining Imitation & Reinforcement Learning to Solve Automated Driving(m/w/x)

Renningen
Full-timeWorking StudentOn-site

Combining imitation and reinforcement learning for automated driving algorithms. Python and PyTorch proficiency, AI knowledge required. Scientific publications advantageous.

Requirements

  • Master's in Natural Sciences, Computer Science (AI focus), or comparable
  • Proficiency in Python and PyTorch
  • Solid knowledge in AI (Autonomous Driving, Imitation Learning, Reinforcement Learning)
  • Initial practical experience (internships) in AI areas preferred
  • Initial scientific publications advantageous
  • Methodical analysis of complex scientific questions
  • Independent development of innovative solutions
  • Seeking scientific exchange
  • Precise communication of results
  • Fluent English

Tasks

  • Conduct in-depth literature research
  • Implement existing reinforcement and imitation learning approaches
  • Extend established methods to create innovative solutions
  • Explore multi-step model generation using reinforcement learning
  • Optimize algorithms for vehicle use
  • Combine single-step models with imitation learning
  • Generate precise trajectories for autonomous driving
  • Document research findings
  • Prepare findings for scientific publication

Education

  • Master's degree

Languages

  • EnglishFluent

Tools & Technologies

  • Python
  • PyTorch
  • Artificial Intelligence
  • Autonomous Driving
  • Imitation Learning
  • Reinforcement Learning
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